2. Use the sign test on the data given below to determine whether there is a statisticalincrease in the values produced by treatment A over those by treatment B at 10%level.Treatment11.214.19.812.57.812.214.311.713.81624.817.312.81412.1ATreatment11.513.610.212.37.411.113.41213.115.714.415.71213.611.4B

Name: 2. Use the sign test on the data given below to determine whether the
Uploaded: 2024-03-20T07:07:12.000Z
Channel: Bartleby
Description: 2. Use the sign test on the data given below to determine whether there is a statisticalincrease in the values produced by treatment A over those by treatment B at 10%level.Treatment11.214.19.812.57.812.214.311.713.81624.817.312.81412.1ATreatment11.

Data is given to test that, if there is an increase in the values produced by treatment A over those…

Math

Statistics

2. Use the sign test on the data given below to determine whether there is a statistical increase in the values produced by treatment A over those by treatment B at 10% level. 11.2 Treatment 14.1 9.8 12.5 7.8 12.2 14.3 11.7 13.8 16 24.8 17.3 12.8 14 12.1 A Treatment 11.5 13.6 10.2 12.3 7.4 11.1 13.4 12 13.1 15.7 14.4 15.7 12 13.6 11.4 B

2. Use the sign test on the data given below to determine whether there is a statistical increase in the values produced by treatment A over those by treatment B at 10% level. 11.2 Treatment 14.1 9.8 12.5 7.8 12.2 14.3 11.7 13.8 16 24.8 17.3 12.8 14 12.1 A Treatment 11.5 13.6 10.2 12.3 7.4 11.1 13.4 12 13.1 15.7 14.4 15.7 12 13.6 11.4 B

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

In one study, the effect on lung volume after 6 months of a new medication was investigated. The results of the study can be seen in the table below. You can assume that the measurement values are normally distributed. important with complete solution. Investigate whether the positive effect of the medication can be demonstrated at the 5% level. Person 1 Person 2 Person 3 Person 4 Person 5 Person 6 Person 7 Person 8 Person 9 Person 10 Person 111 Person 12 Before 8.7 8.9 9.5 8.1 7.7 8.6 8.1 10.5 8.7 8.9 9.5 10 After 10.5 9.3 10.4 9.9 9.8 8.9 7.2 9.6 9 9.5 9.9 10.5
5. The following scores are from an independent-measures study comparing two treatment conditions. a. Use an independent-measures t test with a = .05 to determine whether there is a significant mean difference between the two treatments. b. Use an ANOVA with a = .05 to determine whether there is a significant mean difference between the two treatments. You should find that F = t². Treatment I 3 10 7 8 10 12 13 12 Treatment II 3 4 7 4 10 2 5 6 N=16 G=116 ΣΧ2 = 1034
The mean BMI in patients free of diabetes was reported as 28.2. An investigator conduction the study hypothesizes that the BMI in patients free of diabetes is higher. Based on the data, is there evidence that the BMI is sigificantly higher than 28.2? Use a 5% level of significance. 25 . 27 . 31 . 33 . 26 . 28 . 41 . 24 . 32 . 35 . 40 .
A magazine collects data each year on the price of a hamburger in a certain fast food restaurant in various countries around the world. The price of this hamburger for a sample of restaurants in Europe in January resulted in the following hamburger prices (after conversion to U.S. dollars). 5.16 4.98 4.05 4.66 5.23 4.65 4.17 4.96 5.18 5.58 5.32 4.60 The mean price of this hamburger in the U.S. in January was $4.61. For purposes of this exercise, assume it is reasonable to regard the sample as representative of these European restaurants. Does the sample provide convincing evidence that the mean January price of this hamburger in Europe is greater than the reported U.S. price? Test the relevant hypotheses using a = 0.05. (Use a statistical computer package to calculate the P-value. Round your test statistic to two decimal places and your P-value to four decimal places.) t = P-value =
Suppose the accompanying summary statistics for a measure of social marginality for samples of youths, young adults, adults, and seniors appeared in a research paper. The social marginality score measured actual and perceived social rejection, with higher scores indicating greater social rejection. Young Adults Age Group Youths Adults Seniors Sample Size 107 254 319 37 2.00 3.10 3.09 2.81 1.59 1.69 1.67 1.86 For purposes of this exercise, assume that it is reasonable to regard the four samples as representative of the U.S. population in the corresponding age groups and that the distributions of social marginality scores for these four groups are approximately normal with the same standard deviation. Is there evidence that the mean social marginality scores are not the same for all four age groups? Test the relevant hypotheses using a = 0.01. Calculate the test statistic. (Round your answer to two decimal places.) F = What can be said about the P-value for this test? O p-value > 0.100 O…
A taxi cab company takes a random sample of 50 of its taxis and notes their miles per gallon (mpg) on a test run. The computer output is shown below. Mean St Dev Min Q1 Q2 Q3 Max 19.78 3.09 13.30 17.80 20.00 21.83 26.00 50% of the taxis have MPG lower than what value? Group of answer choices A. 20 MPG B. (21.83 - 17.80) MPG C. 19.78 MPG D. (26-13.30)/2 MPG
You want to find out if developmental English courses had a positive affect on students' writing skills. You have a sample of 10 students do a writing sample the first day of class and on the last day of class. You want to determine if there is significant gains in writing ability at the 0.05 level.You believe the population of difference scores is normally distributed. You obtain the following sample of data: post-test pre-test 65.7 65.4 45.2 45.4 55 55.4 49 48.6 50.7 50.4 56 55.3 77.3 77.2 61.7 62 48.5 47.7 62.4 62 Use a 0.05 alpha level. What is the critical value for this test? (Report answer accurate to three decimal places.)critical value = What is the test statistic for this sample? (Report answer accurate to three decimal places.)test statistic =
The following data represent the results from an independent-measures study comparing two treatment conditions. Treatment Two Treatment One 3.4 3.2 4.3 4.3 4.9 4.4 2.7 5.5 3.4 4.1 3.8 4.3 4.1 3.6 4.3 2.2 Conduct ANOVA with a = 0.05 for this data and calculate the F-ratio and p-value. Round your answer to three decimal places. Assume all population and ANOVA requirements are met. F-ratio: p-value: Now, conduct a t-test with a = 0.05 on the same data and calculate the t-statisitc and p-value. Round your answer to three decimal places. t-statistic: p-value:
The following histogram shows the percentage of residential properties in negative equity or near negative equity for 114 states of a certain country for which data were available in July 2012. Complete parts (a) through (c) below. 35 30- 25 20 15 10 5- 0- 12.5 22.5 32.5 42.5 52.5 Percentage ..... O D. The overall shape is normal. (b) How many states had their percentage between 10% and 14.9%? 21 (Type a whole number.) (c) How many states had their percentage above 45%? (Type a whole number.) Kou anbas
Help please with this question
A magazine collects data each year on the price of a hamburger in a certain fast food restaurant in various countries around the world. The price of this hamburger for a sample of restaurants in Europe in January resulted in the following hamburger prices (after conversion to U.S. dollars). 5.16 4.95 4.07 4.66 5.29 4.67 4.12 4.96 5.15 5.55 5.38 4.60 The mean price of this hamburger in the U.S. in January was $4.61. For purposes of this exercise, assume it is reasonable to regard the sample as representative of these European restaurants. Does the sample provide convincing evidence that the mean January price of this hamburger in Europe is greater than the reported U.S. price? Test the relevant hypotheses using ? = 0.05. (Use a statistical computer package to calculate the P-value. Round your test statistic to two decimal places and your P-value to three decimal places.) t = P-value =
1. Find the p-value. (Round to three or more decimal places.) 2. At the 0.01 level of significance, can the doctor conclude that the mean recovery time of patients who have the new procedure is less than the mean recovery time of patients who have the standard procedure?